Every organization wants to embrace artificial intelligence (AI), but here is the little secret: Majority of AI projects have never moved beyond a proof of concept (POC) phase and only a small fraction of AI experiments has been proved to be ROI positive. In fact, Only 10% of companies have gained significant benefits from their AI initiatives.
We are in an AI hype for a while now, which means not much persuasion is needed to pitch AI investments to senior executives. However, what is missing is the overall awareness of what AI can and cannot do.
Rogayeh Tabrizi, a quantum-physicist-turned-data-scientist, is now the co-founder and CEO of Theory+Practice, a Toronto-based AI startup focusing on bringing advanced AI solutions to retail and financial services. In this episode, Rogayeh shared her personal journey of transitioning from academia, to finding fascination in data and modeling, and to creating market-product fit in AI applications.
In this episode, you will hear Rogayeh share her reflections on:
How fresh perspectives are born by combining theoretical data practices and business challenges
Why “Asking the Right Questions” is critical to establishing the right foundation for any data project
Why you must find yourself a mentor if you want to start your business, especially for women founders (to be)
Every organization wants to embrace artificial intelligence (AI), but here is the little secret: Majority of AI projects have never moved beyond a proof of concept (POC) phase and only a small fraction of AI experiments has been proved to be ROI positive. In fact, Only 10% of companies have gained significant benefits from their AI initiatives.
We are in an AI hype for a while now, which means not much persuasion is needed to pitch AI investments to senior executives. However, what is missing is the overall awareness of what AI can and cannot do.
Rogayeh Tabrizi, a quantum-physicist-turned-data-scientist, is now the co-founder and CEO of Theory+Practice, a Toronto-based AI startup focusing on bringing advanced AI solutions to retail and financial services. In this episode, Rogayeh shared her personal journey of transitioning from academia, to finding fascination in data and modeling, and to creating market-product fit in AI applications.
In this episode, you will hear Rogayeh share her reflections on:
How fresh perspectives are born by combining theoretical data practices and business challenges
Why “Asking the Right Questions” is critical to establishing the right foundation for any data project
Why you must find yourself a mentor if you want to start your business, especially for women founders (to be)